The network, as a data structure, can be used to model many real and artificial systems. However, because a network representation of a system can be too complicated to understand directly, many algorithms have been developed to map the network to a lower dimensional space. For a fine review of the many popular network analysis algorithms in use today, refer to [1]}, [2]}. Examples of such algorithms, to name a few of the more popularly used algorithms, include the the family of geodesic [3]}, [4]}, [5]}, [6]}, spectral [7]}, [8]}, [9]}, and community detection algorithms [10]}, [11]}, [12]}.
